Augury
Vertical AI · Predictive maintenance
Vertical AI · Predictive maintenance
Currently tracking 8 active AI roles, with 14 new openings in the last 4 weeks. Primary focus: Agent · Engineering.
Augury currently has 14 active AI-related roles in our index. The most common open titles are: Software Data Engineer, Data Platform (2), AI-Native Mobile Engineer - Deployment Platform, Algorithm and Applied AI Scientist (DSP), Experienced AI Applied Scientist, Experienced AI Software Engineer . Most positions are in Engineering and Product.
Augury's active AI hiring is concentrated in: agents (57%), data (21%), application (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Augury is hiring AI talent in: Israel (6 roles), United States (1 role).
Job postings at Augury most frequently mention: Manufacturing, Predictive Modeling, Machine Learning, Generative AI, Agentic Systems.
In the past 30 days, Augury has posted 4 new AI-related roles. That is a -67% change versus the prior 30 days (12 → 4).
| Title | Stage | AI score |
|---|---|---|
| Experienced AI Applied Scientist This role focuses on building agentic applications using LLMs and various data sources for industrial AI. The scientist will own the algorithm lifecycle from problem definition to production deployment, leveraging cloud platforms and modern AI technologies like GenAI, transformers, and vectorization for insight and recommendation systems. | AgentData | 9 |
| Algorithm and Applied AI Scientist (DSP) Augury is a leader in Industrial AI, seeking an Algorithm and Applied AI Scientist to lead a project focused on advanced signal processing and data analytics. The role involves researching and developing novel models, extracting features from unique datasets, and deploying production-ready AI models for industrial manufacturers to drive efficiency and reduce downtime. | ShipData | 8 |
| Experienced AI/ML Applied Researcher Augury is seeking an experienced AI/ML Applied Researcher to develop and deploy advanced AI models for industrial manufacturers. The role involves owning the algorithm lifecycle, researching and building models from various data sources (time-series, text, images), and working with LLMs and agents. The ideal candidate has an M.Sc. or Ph.D. with 4+ years of ML application experience, proficiency in Python, and experience with ML ops infrastructure. | AgentPost-train | 8 |
| Experienced AI Software Engineer Experienced AI Software Engineer to join a GenAI Infrastructure team, focusing on building production-grade GenAI capabilities and the underlying infrastructure. The role involves hands-on engineering for AI agents, RAG pipelines, tool-calling workflows, backend services, data access, evaluation, and observability, with a strong emphasis on shipping and operating reliable AI-powered systems in production. | AgentServe | 8 |
| Software Data Engineer, Data Platform Software Data Engineer responsible for building production-grade data services, platforms, and pipelines that power AI-driven products and AI agents. This role involves designing and implementing data flows for raw event ingestion, storage, and exposure of clean data for downstream consumers, with a strong focus on software engineering fundamentals, reliability, scalability, and observability. The engineer will work with modern data engineering practices, including lakehouse architectures, streaming platforms, and data modeling, to support AI-native experiences and agentic workflows. | DataAgent | 5 |
| AI-Native Mobile Engineer - Deployment Platform AI-Native Mobile Engineer responsible for building and maintaining Flutter-based mobile applications for industrial AI deployments. The role involves designing and shipping agentic workflows using LLMs to assist field technicians, integrating IoT/Hardware features, and contributing to full-stack services for end-to-end feature delivery. | Agent | 5 |